Diet and Risk of Ovarian Cancer

饮食与卵巢癌的风险

• 批准号: 6952387
• 负责人: Ellen Ting-Yee Chang
• 金额: $ 6.97万
• 依托单位: CANCER PREVENTION INSTIT OF CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-23 至 2007-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6952387
• 关键词: alcoholic beverage consumption; cancer registry /resource; cancer risk; clinical research; dairy products; dietary lipid; disease /disorder etiology; egg food product; female; human data; human subject; isothiocyanates; longitudinal human study; neoplasm /cancer epidemiology; nutrient intake activity; nutrition aspect of cancer; nutrition related neoplasm /cancer; nutrition related tag; ovary neoplasms; phytoestrogens; questionnaires; statistics /biometry; teacher; women' s health

DESCRIPTION (provided by applicant): We propose to address several emerging or unresolved hypotheses related to the impact of diet on ovarian cancer risk. Our specific aims are to evaluate the relationship between ovarian cancer risk and (a) phytoestrogens and isothiocyanates, (b) eggs, dietary fats and dairy products, (c) alcohol, and (d) dietary patterns. The California Teachers Study is a prospective study of 133,479 female California teachers who participate in the State Teachers Retirement System and who were active or retired California teachers or administrators at the time the cohort was established in 1995. Our analyses will include the 123,293 women who were California residents at baseline; about 290 of whom will have developed ovarian cancer by December 2002. Dietary intake during the year prior to entering the cohort was assessed via a self-administered food-frequency questionnaire (FFQ), specifically a near final version of the Block95 FFQ. The FFQ included an assessment of 100 food and beverage items as well as questions regarding alcohol use, overall intake of fruits and vegetables, and use of low-fat or non-fat versions of foods. Cancer outcomes in the cohort are identified through annual linkage with the California Cancer Registry (CCR). We will use Poisson regression to estimate the relative risk (i.e. rate ratios and 95% confidence intervals) of ovarian cancer associated with specific foods, food groups, micronutrients, non-nutritive compounds, and dietary patterns of interest. A priori definitions and factor analysis will be used to classify women based on their "types of diet" (i.e. dietary patterns). Due to the size of the CTS, we will have greater than 80% power to detect the anticipated associations. As dietary information was collected prior to disease onset, the study will not be affected by recall bias, unlike case-control studies upon which the majority of the previous work in this area has been based. The results of the proposed analyses will provide further understanding of the etiology of ovarian cancer.

描述（由申请人提供）： 我们建议解决几个新出现的或未解决的假设有关的影响，饮食对卵巢癌的风险。我们的具体目标是评估卵巢癌风险与（a）植物雌激素和异硫氰酸酯，（B）鸡蛋，膳食脂肪和乳制品，（c）酒精和（d）饮食模式之间的关系。加州教师研究是一项前瞻性研究，研究对象是133,479名加州女教师，她们参加了州教师退休制度，在1995年建立该队列时是加州在职或退休的教师或管理人员。我们的分析将包括123，293名基线时为加州居民的妇女，其中约290人将在2002年12月之前发展为卵巢癌。通过自我管理的食物频率问卷（FFQ），特别是接近最终版本的Block 95 FFQ，评估进入队列前一年的饮食摄入量。FFQ包括对100种食品和饮料的评估，以及关于酒精使用，水果和蔬菜的总体摄入量以及低脂或脱脂食品的使用的问题。通过与加州癌症登记处（CCR）的年度联系确定队列中的癌症结局。我们将使用泊松回归来估计与特定食物、食物组、微量营养素、非营养化合物和饮食模式相关的卵巢癌的相对风险（即率比和95%置信区间）。将使用先验定义和因素分析，根据妇女的“饮食类型”（即饮食模式）对她们进行分类。由于CTS的大小，我们将有超过80%的功率来检测预期的关联。由于饮食信息是在疾病发作之前收集的，因此该研究不会受到回忆偏差的影响，这与该领域以前的大多数工作所基于的病例对照研究不同。建议的分析结果将提供卵巢癌的病因学的进一步了解。